@article{10.1145/3472617,
author = {Radiah, Rivu and M\"{a}kel\"{a}, Ville and Prange, Sarah and Rodriguez, Sarah Delgado and Piening, Robin and Zhou, Yumeng and K\"{o}hle, Kay and Pfeuffer, Ken and Abdelrahman, Yomna and Hoppe, Matthias and Schmidt, Albrecht and Alt, Florian},
title = {Remote VR Studies: A Framework for Running Virtual Reality Studies Remotely Via Participant-Owned HMDs},
year = {2021},
issue_date = {December 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {28},
number = {6},
issn = {1073-0516},
url = {https://doi.org/10.1145/3472617},
doi = {10.1145/3472617},
abstract = {We investigate opportunities and challenges of running virtual reality (VR) studies remotely. Today, many consumers own head-mounted displays (HMDs), allowing them to participate in scientific studies from their homes using their own equipment. Researchers can benefit from this approach by being able to recruit study populations normally out of their reach, and to conduct research at times when it is difficult to get people into the lab (cf. the COVID pandemic). In an initial online survey (N = 227), we assessed HMD owners’ demographics, their VR setups and their attitudes toward remote participation. We then identified different approaches to running remote studies and conducted two case studies for an in-depth understanding. We synthesize our findings into a framework for remote VR studies, discuss strengths and weaknesses of the different approaches, and derive best practices. Our work is valuable for Human-Computer Interaction (HCI) researchers conducting VR studies outside labs.},
journal = {ACM Trans. Comput.-Hum. Interact.},
month = {nov},
articleno = {46},
numpages = {36},
keywords = {data collection methods, Virtual reality, remote studies, user studies}
}